Principal Applied Scientist, FAR (Frontier AI & Robotics)

Amazon
San Francisco, CA, USA / Seattle, WA, USA2025-03-26ONSITE

About the job

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to lead key initiatives in robotic intelligence. As a Principal Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive technical excellence in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.

Responsibilities

- Lead technical initiatives in robotics foundation models, driving breakthrough approaches through hands-on research and development in areas like open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization

- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish

- Guide technical direction for specific research initiatives, ensuring robust performance in production environments

- Mentor and support fellow scientists while maintaining strong individual technical contributions

- Collaborate with engineering teams to optimize and scale models for real-world applications

- Influence technical decisions and implementation strategies within your area of focus

Qualifications

Minimum

- PhD, or Master's degree and 6+ years of applied research experience

- 5+ years of industry or academic research experience

- Experience programming in Java, C++, Python or related language

- 5+ years of building machine learning models or developing algorithms for business application experience

- Experience in patents or publication at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL).

- Extensive track record of leading technical projects.

- Experience mentoring junior scientists / engineers.

- Demonstrated expertise in deep learning and model development.

Preferred

- Experience as first-author publications at major conferences

- Experience leading research initiatives in robotics or foundation models

- Track record of successful production ML deployments

- Experience with large-scale distributed systems

- Experience in technical leadership and team mentorship

- Experience bridging research with practical engineering implementation